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Determining the optimal load for resisted sprint training with sled towing
Pedro E Alcaraz1, José Manuel Palao, José L L Elvira
1Department of Physical Activity and Sport Sciences, Kinesiology and Biomechanics Laboratory, San Antonio Catholic University of Murcia, Guadalupe, Murcia, Spain. pedro.e.alcaraz@gmail.com
Controlling load during resisted sprint training is crucial for maintaining running technique. This study developed a regression equation, % body mass = (-0.8674 x % velocity) + 87.99, to determine optimal sled towing loads for acceleration and maximum velocity phases.
Area of Science:
- Sports Science
- Biomechanics
- Athletic Training
Background:
- Resisted sprint training is effective but can alter running mechanics if loads are excessive.
- Effective load management is vital for preserving the specificity of resisted sprint training.
- Velocity loss percentage is a common method for monitoring training intensity.
Purpose of the Study:
- To establish a precise method for determining the optimal load in sled towing resisted sprint training.
- To develop a regression equation for calculating appropriate training loads during the maximum velocity phase.
- To enhance the specificity and effectiveness of resisted sprint training protocols.
Main Methods:
- A regression equation was developed to calculate training load based on velocity loss.
- The study involved 26 national-level athletes from Spain and France.
- Data collection occurred on a synthetic track surface using athletic spikes.
Main Results:
- The derived regression equation is % body mass = (-0.8674 x % velocity) + 87.99.
- This equation allows for the calculation of optimal sled towing loads.
- The findings provide a quantifiable approach to load prescription.
Conclusions:
- The developed regression equation is specific to the tested conditions (surface, sled towing).
- It offers a practical tool for coaches to prescribe optimal loads for acceleration and maximum velocity training.
- Implementing this equation can help maintain training specificity and prevent detrimental changes in running patterns.
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